Integrating human and machine intelligence in galaxy morphology classification tasks by Beck, MR, Scarlata, C, Fortson, LF, Lintott, CJ, Simmons, BD, Galloway, MA, Willett, KW, Dickinson, H, Masters, KL, Marshall, PJ, Wright, D

“…We demonstrate the effectiveness of such a system through a re-analysis of visual galaxy morphology classifications collected during the Galaxy Zoo 2 (GZ2) project. …”

Galaxy Morphological Classification of the Legacy Surveys with Deformable Convolutional Neural Networks by Shoulin Wei, Wei Lu, Wei Dai, Bo Liang, Longfei Hao, Zhijian Zhang, Xiaoli Zhang

“…We applied our method to Data Release 9 of the Legacy Surveys and present a galaxy morphological classification catalog including approximately 71 million galaxies and the probability of each galaxy to be categorized as Round, In-between, Cigar-shaped, Edge-on, Spiral, Irregular, and Error. …”
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DeepAstroUDA: semi-supervised universal domain adaptation for cross-survey galaxy morphology classification and anomaly detection by A Ćiprijanović, A Lewis, K Pedro, S Madireddy, B Nord, G N Perdue, S M Wild

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Efficient galaxy classification through pretraining by Jesse Schneider, David C. Stenning, Lloyd T. Elliott

“…Deep learning has increasingly been applied to supervised learning tasks in astronomy, such as classifying images of galaxies based on their apparent shape (i.e., galaxy morphology classification) to gain insight regarding the evolution of galaxies. …”
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Morphological classification of galaxies and its relation to physical properties by Wijesinghe, D, Hopkins, A, Kelly, B, Welikala, N, Connolly, A

“…We extend a recently developed galaxy morphology classification method, Quantitative Multiwavelength Morphology (QMM), to connect galaxy morphologies to their underlying physical properties. …”

The Classification of Galaxy Morphology in the H Band of the COSMOS-DASH Field: A Combination-based Machine-learning Clustering Model by Yao Dai, Jun Xu, Jie Song, Guanwen Fang, Chichun Zhou, Shuo Ba, Yizhou Gu, Zesen Lin, Xu Kong

“…By applying our previously developed two-step scheme for galaxy morphology classification, we present a catalog of galaxy morphology for H -band-selected massive galaxies in the COSMOS-DASH field, which includes 17,292 galaxies with stellar mass M _⋆ > 10 ^10 M _⊙ at 0.5 < z < 2.5. …”
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